Update CLP(BN) with Tiago's latest version of BP solver.

This commit is contained in:
Vitor Santos Costa
2011-05-17 12:00:33 +01:00
parent 2f964c9f51
commit b7379a67cc
46 changed files with 10961 additions and 491 deletions

View File

@@ -4,226 +4,44 @@
#include "BpNode.h"
bool BpNode::calculateMessageResidual_ = true;
bool BpNode::parallelSchedule_ = false;
BpNode::BpNode (string varName,
vector<BayesianNode*> parents,
Distribution* dist,
int evidence) : BayesianNode (varName, parents, dist, evidence)
BpNode::BpNode (BayesNode* node)
{
}
BpNode::~BpNode (void)
{
delete [] piValues_;
delete [] lambdaValues_;
delete [] oldBeliefs_;
map<BpNode*, double*>::iterator iter;
for (iter = lambdaMessages_.begin(); iter != lambdaMessages_.end(); ++iter) {
delete [] iter->second;
ds_ = node->getDomainSize();
const NodeSet& childs = node->getChilds();
piVals_.resize (ds_, 1);
ldVals_.resize (ds_, 1);
if (calculateMessageResidual_) {
piResiduals_.resize (childs.size(), 0.0);
ldResiduals_.resize (childs.size(), 0.0);
}
for (iter = piMessages_.begin(); iter != piMessages_.end(); ++iter) {
delete [] iter->second;
}
// FIXME delete new messages
}
void
BpNode::enableParallelSchedule (void)
{
parallelSchedule_ = true;
}
void
BpNode::allocateMemory (void)
{
// FIXME do i need this !?
int domainSize = getDomainSize();
piValues_ = new double [domainSize];
lambdaValues_ = new double [domainSize];
if (parallelSchedule_) {
newPiMessages_ = new map<BpNode*, double*>;
newLambdaMessages_ = new map<BpNode*, double*>;
}
oldBeliefs_ = 0;
vector <BayesianNode*> childs = getChilds();
for (unsigned int i = 0; i < childs.size(); i++) {
BpNode* child = static_cast<BpNode*> (childs[i]);
piMessages_.insert (make_pair (child, new double [domainSize]));
lambdaMessages_.insert (make_pair (child, new double [domainSize]));
if (parallelSchedule_) {
newPiMessages_->insert (make_pair (child, new double [domainSize]));
newLambdaMessages_->insert (make_pair (child, new double [domainSize]));
}
childs_ = &childs;
for (unsigned i = 0; i < childs.size(); i++) {
//indexMap_.insert (make_pair (childs[i]->getVarId(), i));
currPiMsgs_.push_back (ParamSet (ds_, 1));
currLdMsgs_.push_back (ParamSet (ds_, 1));
nextPiMsgs_.push_back (ParamSet (ds_, 1));
nextLdMsgs_.push_back (ParamSet (ds_, 1));
}
}
double*
BpNode::getPiValues (void) const
ParamSet
BpNode::getBeliefs (void) const
{
return piValues_;
}
double
BpNode::getPiValue (int index) const
{
const int c = getDomainSize();
assert (index >=0 && index < c);
return piValues_[index];
}
void
BpNode::setPiValue (int index, double value)
{
const int c = getDomainSize();
assert (index >=0 && index < c);
piValues_[index] = value;
}
double*
BpNode::getLambdaValues (void) const
{
return lambdaValues_;
}
double
BpNode::getLambdaValue (int index) const
{
const int c = getDomainSize();
assert (index >=0 && index < c);
return lambdaValues_[index];
}
void
BpNode::setLambdaValue (int index, double value)
{
const int c = getDomainSize();
assert (index >=0 && index < c);
lambdaValues_[index] = value;
}
double*
BpNode::getPiMessages (BpNode* node) const
{
assert (node);
map<BpNode*, double*>::const_iterator iter = piMessages_.find (node);
assert (iter != piMessages_.end());
return iter->second;
}
double
BpNode::getPiMessage (BpNode* node, int index) const
{
assert (node);
const int c = getDomainSize();
assert (index >=0 && index < c);
map<BpNode*, double*>::const_iterator iter = piMessages_.find (node);
assert (iter != piMessages_.end());
return iter->second[index];
}
void
BpNode::setPiMessage (BpNode* node, int index, double probability)
{
assert (node);
const int c = getDomainSize();
assert (index >=0 && index < c);
map<BpNode*, double*>::const_iterator iter;
if (parallelSchedule_) {
// cerr << "set_pi_message" << endl;
iter = newPiMessages_->find (node);
assert (iter != newPiMessages_->end());
} else {
iter = piMessages_.find (node);
assert (iter != piMessages_.end());
}
iter->second[index] = probability;
}
double*
BpNode::getLambdaMessages (BpNode* node) const
{
assert (node);
map<BpNode*, double*>::const_iterator iter = lambdaMessages_.find (node);
assert (iter != piMessages_.end());
return iter->second;
}
double
BpNode::getLambdaMessage (BpNode* node, int index) const
{
assert (node);
const int c = getDomainSize();
assert (index >=0 && index < c);
map<BpNode*, double*>::const_iterator iter = lambdaMessages_.find (node);
assert (iter != piMessages_.end());
return iter->second[index];
}
void
BpNode::setLambdaMessage (BpNode* node, int index, double probability)
{
assert (node);
const int c = getDomainSize();
assert (index >=0 && index < c);
map<BpNode*, double*>::const_iterator iter;
if (parallelSchedule_) {
//cerr << "set_lambda_message" << endl;
iter = newLambdaMessages_->find (node);
assert (iter != newLambdaMessages_->end());
} else {
iter = lambdaMessages_.find (node);
assert (iter != lambdaMessages_.end());
}
iter->second[index] = probability;
}
double*
BpNode::getBeliefs (void)
{
double sum = 0.0;
double* beliefs = new double [getDomainSize()];
for (int xi = 0; xi < getDomainSize(); xi++) {
double prod = piValues_[xi] * lambdaValues_[xi];
double sum = 0.0;
ParamSet beliefs (ds_);
for (int xi = 0; xi < ds_; xi++) {
double prod = piVals_[xi] * ldVals_[xi];
beliefs[xi] = prod;
sum += prod;
}
// normalize the beliefs
for (int xi = 0; xi < getDomainSize(); xi++) {
assert (sum);
//normalize the beliefs
for (int xi = 0; xi < ds_; xi++) {
beliefs[xi] /= sum;
}
return beliefs;
@@ -231,91 +49,202 @@ BpNode::getBeliefs (void)
double
BpNode::getPiValue (int idx) const
{
assert (idx >=0 && idx < ds_);
return piVals_[idx];
}
void
BpNode::setPiValue (int idx, double value)
{
assert (idx >=0 && idx < ds_);
piVals_[idx] = value;
}
double
BpNode::getLambdaValue (int idx) const
{
assert (idx >=0 && idx < ds_);
return ldVals_[idx];
}
void
BpNode::setLambdaValue (int idx, double value)
{
assert (idx >=0 && idx < ds_);
ldVals_[idx] = value;
}
ParamSet&
BpNode::getPiValues (void)
{
return piVals_;
}
ParamSet&
BpNode::getLambdaValues (void)
{
return ldVals_;
}
double
BpNode::getPiMessageValue (const BayesNode* destination, int idx) const
{
assert (idx >=0 && idx < ds_);
return currPiMsgs_[getIndex(destination)][idx];
}
double
BpNode::getLambdaMessageValue (const BayesNode* source, int idx) const
{
assert (idx >=0 && idx < ds_);
return currLdMsgs_[getIndex(source)][idx];
}
const ParamSet&
BpNode::getPiMessage (const BayesNode* destination) const
{
return currPiMsgs_[getIndex(destination)];
}
const ParamSet&
BpNode::getLambdaMessage (const BayesNode* source) const
{
return currLdMsgs_[getIndex(source)];
}
ParamSet&
BpNode::piNextMessageReference (const BayesNode* destination)
{
return nextPiMsgs_[getIndex(destination)];
}
ParamSet&
BpNode::lambdaNextMessageReference (const BayesNode* source)
{
return nextLdMsgs_[getIndex(source)];
}
void
BpNode::updatePiMessage (const BayesNode* destination)
{
int idx = getIndex (destination);
currPiMsgs_[idx] = nextPiMsgs_[idx];
Util::normalize (currPiMsgs_[idx]);
}
void
BpNode::updateLambdaMessage (const BayesNode* source)
{
int idx = getIndex (source);
currLdMsgs_[idx] = nextLdMsgs_[idx];
Util::normalize (currLdMsgs_[idx]);
}
double
BpNode::getBeliefChange (void)
{
double change = 0.0;
if (!oldBeliefs_) {
if (oldBeliefs_.size() == 0) {
oldBeliefs_ = getBeliefs();
change = MAX_CHANGE_;
change = 9999999999.0;
} else {
double* currentBeliefs = getBeliefs();
for (int xi = 0; xi < getDomainSize(); xi++) {
ParamSet currentBeliefs = getBeliefs();
for (int xi = 0; xi < ds_; xi++) {
change += abs (currentBeliefs[xi] - oldBeliefs_[xi]);
}
oldBeliefs_ = currentBeliefs;
}
//FIXME memory leak
return change;
}
void
BpNode::normalizeMessages (void)
BpNode::updatePiResidual (const BayesNode* destination)
{
map<BpNode*, double*>::iterator iter;
iter = lambdaMessages_.begin();
while (iter != lambdaMessages_.end()) {
double* v = iter->second;
double sum = 0.0;
for (int xi = 0; xi < getDomainSize(); xi++) {
sum += v[xi];
}
for (int xi = 0; xi < getDomainSize(); xi++) {
v[xi] /= sum;
}
iter ++;
}
iter = piMessages_.begin();
while (iter != piMessages_.end()) {
double* v = iter->second;
double sum = 0.0;
for (int xi = 0; xi < getDomainSize(); xi++) {
sum += v[xi];
}
for (int xi = 0; xi < getDomainSize(); xi++) {
v[xi] /= sum;
}
iter ++;
}
int idx = getIndex (destination);
Util::normalize (nextPiMsgs_[idx]);
//piResiduals_[idx] = Util::getL1dist (
// currPiMsgs_[idx], nextPiMsgs_[idx]);
piResiduals_[idx] = Util::getMaxNorm (
currPiMsgs_[idx], nextPiMsgs_[idx]);
}
void
BpNode::swapMessages (void)
BpNode::updateLambdaResidual (const BayesNode* source)
{
//FIXME fast way to do this
map<BpNode*, double*>::iterator iter1;
map<BpNode*, double*>::iterator iter2;
iter1 = lambdaMessages_.begin();
iter2 = newLambdaMessages_->begin();
while (iter1 != lambdaMessages_.end()) {
double* v1 = iter1->second;
double* v2 = iter2->second;
for (int xi = 0; xi < getDomainSize(); xi++) {
//v1[xi] = v2[xi];
v1[xi] = (v1[xi] + v2[xi]) / 2;
}
iter1 ++;
iter2 ++;
}
iter1 = piMessages_.begin();
iter2 = newPiMessages_->begin();
while (iter1 != piMessages_.end()) {
double* v1 = iter1->second;
double* v2 = iter2->second;
for (int xi = 0; xi < getDomainSize(); xi++) {
//v1[xi] = v2[xi];
v1[xi] = (v1[xi] + v2[xi]) / 2;
}
iter1 ++;
iter2 ++;
}
int idx = getIndex (source);
Util::normalize (nextLdMsgs_[idx]);
//ldResiduals_[idx] = Util::getL1dist (
// currLdMsgs_[idx], nextLdMsgs_[idx]);
ldResiduals_[idx] = Util::getMaxNorm (
currLdMsgs_[idx], nextLdMsgs_[idx]);
}
void
BpNode::clearPiResidual (const BayesNode* destination)
{
piResiduals_[getIndex(destination)] = 0;
}
void
BpNode::clearLambdaResidual (const BayesNode* source)
{
ldResiduals_[getIndex(source)] = 0;
}
bool
BpNode::hasReceivedChildInfluence (void) const
{
// if all lambda values are equal, then neither
// this node neither its descendents have evidence,
// we can use this to don't send lambda messages his parents
bool childInfluenced = false;
for (int xi = 1; xi < ds_; xi++) {
if (ldVals_[xi] != ldVals_[0]) {
childInfluenced = true;
break;
}
}
return childInfluenced;
}